Evaluation of Organic Camelina Crop Under Different Tillage Systems and Fertilization Types Using Proximal Remote Sensing

Abstract

A field experiment was conducted in Southern Greece to assess Normalized Difference Vegetation Index (NDVI) and Red-Edge Normalized Difference Vegetation Index (NDRE) in estimating Camelina’s crop growth and yield parameters under different tillage systems (conventional and minimum tillage) and organic fertilization types (compost, vermicompost and untreated control). A proximal canopy sensor was used to measure the aforementioned Spectral Vegetation Indices (SVIs) at different days after sowing (DAS). Camelina presented the highest values of NDVI and NDRE under compost fertilization (0.63 and 0.22 accordingly) and minimum tillage system (0.50 and 0.18 accordingly). Additionally, the highest correlations between the measured crop parameters and NDVI, NDRE were achieved at leaf development to early flowering stage. Moreover, NDRE presented the highest correlation with seed yield (R2=0.60, p

Plant phenotyping relevance

近接型キャノピーセンサーによるNDVI/NDREでCamelinaの生育・収量形質を推定し、各形質との相関を評価することが研究の中心であるため、センサー型表現型計測の実質的応用と判断する。

Code and data availability

The article reports proximal-sensing NDVI/NDRE measurements and regression analyses for a Camelina field trial, but contains no data availability statement, no public dataset or code deposit, and no author-provided URLs. The only URL present is the journal download link for the article itself, which does not qualify.

No evidence-backed public reproduction asset is currently recorded.